


I don't have any cost function to minimize. My task is to create the "best"
matrix, matching the row sums, the column sums, row sumproducts (with the
rows from another constant matrix) and also column sumproducts - it's a
transportation problem of finding OD matrix corresponding the total tonnage
and tonne-kilometres. Maybe the more suitable function would be "lsei", but
it retuns also negative values for some X-es. Do you have an idea where in
the code to put some verification for non-negative results?


Thanks in advance.


Best Regards.


----- Цитат от Berend Hasselman (bhh@xs4all.nl), на 27.02.2014 в
21:09 -----  
On 27-02-2014, at 13:22, klqmba@mail.bg wrote:


Dear R users,


I have to find optimal solution of an underdetermined linear system, but
only with positive variables. I tried the function from this post
https://stat.ethz.ch/pipermail/r-help/2007-October/143408.html , but it's
solution includes also negative values. 


Have a look at package limSolve. Maybe (and only maybe) function linp can
be of use.


Berend


Thanks in advance.


Best Regards.


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